KwaiKEG/CogGPT
Unleashing the Power of Cognitive Dynamics on Large Language Models
This project helps researchers and developers evaluate how well Large Language Models (LLMs) align with human cognitive processes. It takes article or video information flows as input and outputs scores for 'authenticity' (consistency with human ratings) and 'rationality' (quality of reasoning). Anyone working on designing, evaluating, or improving LLMs to mimic human cognition would use this.
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Use this if you are developing or studying Large Language Models and want to systematically measure how their 'thinking' evolves and aligns with human thought patterns over time.
Not ideal if you are looking for an off-the-shelf chatbot, a system for general content generation, or a tool for routine data analysis.
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63
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Python
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Last pushed
Sep 24, 2024
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